JPMorgan Lead Software Engineer - Java / Spark AWS 

United States, New Jersey, Jersey City 

712699257

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) including Java, Scala and Python
• Experience with HPC, multi-threading and messaging platforms
• Extensive experience with designing, developing, deploying applications for AWS using following services / technologies: Terraform, EMR, EKS/ECS, Lambda, RDS, S3 and Spark
• Experience with SQL, Linux/Unix shell and scripting
• Proficient in all aspects of the Software Development Life Cycle and Agile Software Delivery
• Proficiency in automation and continuous delivery methods and CI/CD tools
• Advanced understanding of Application Resiliency and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

• Experience with Snowflake and/or Databricks platforms
• Familiarity with Observability and metrics processing tools (CloudWatch, Dynatrace, Datadog, Grafana)